a new "narrow" slider for tsview.py
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…values + utils/plot.auto_adjust_colormap_lut_and_disp_limit(): add unique_values as the 3rd return arg & update its usage in save_kmz.py, view.py and tsview.py + utils/plot.plot_colorbar(): use unique_values to set tick locations if they are <=5 + utils/plot.read.gmt_lonlat_file(): ignore comment lines + utils/utils.read_timeseries_yx(): bugfix for dis_std unit conversion + objects/sensor: add a few paramters for the GaoFen-3 sensor + objects/gps.get_gps_los_obs(): bugfix when input site_names are not consistent with CSV file + add Yunjun et al. (2022) with DOI to the following files: - defaults/smallbaselineApp.cfg: SET option - iono_tec.py - solid_earth_tides.py - simulation/iono.py
+ replace fig.canvas.draw() with "fig.canvas.draw_idle()" and "fig.canvas.flush_events()", as recommended by matplotlib (https://matplotlib.org/stable/users/explain/interactive_guide.html). This fixed the non-resposive point TS plot, with the latest version of matplotlib version 3..5.1. It's unknown since which version of matplotlib that this behavior change started to happen. Involved scripts are: - tsview.py - plot_transection.py - plot_coherence_matrix.py + tsview: update bar() plot in the slider, to make sure the vertical lines are within the slider extent + utils.plot: add add_arrow() from stack overflow + plot_transection: plot the profile location as dashed arrow instead of dashed line, to indicate the profile direction, via plot.add_arrow().
+ tsview: switch to a new look of "slider" in tsview.py. The main changes are: 1. use a narrower slider on the Y-axis, for a more compact looking. 2. The slider is solely based on image number, instead of time, to be agnostic against TS files with different time gaps. 3. Plot the reference date as a "gray" dot on the slider, to be more visible. 4. use subplot() with tight_layout() to better scale the subplots + utils.ptime: add get_compact_isoformat()
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Description of proposed changes
This PR adds two changes to
tsview.py:replace fig.canvas.draw() with "fig.canvas.draw_idle()" and "fig.canvas.flush_events()", as recommended by matplotlib (https://matplotlib.org/stable/users/explain/interactive_guide.html). This fixed the non-resposive point TS plot, with the latest version of matplotlib version 3.5.1. It's unknown since which version of matplotlib that this behavior change started to happen.
switch to a new "narrow-looking" slider in tsview.py, as shown below
Reminders